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Record W2037757716 · doi:10.1080/15325000903376941

Autonomous AC Grid Based on Multi-infeed Voltage Source Converter Stations

2010· article· en· W2037757716 on OpenAlexaff
Guojie Li, Si-Ye Ruan, Boon‐Teck Ooi, Yuanzhang Sun, S.S. Choi

Bibliographic record

VenueElectric Power Components and Systems · 2010
Typearticle
Languageen
FieldEngineering
TopicMicrogrid Control and Optimization
Canadian institutionsMcGill University
FundersFlorida International University
KeywordsVoltage sourceControllabilityVoltage regulationVoltageConvertersVoltage regulatorRenewable energyGridControl theory (sociology)EngineeringElectronic engineeringElectrical engineeringComputer scienceControl (management)Mathematics

Abstract

fetched live from OpenAlex

It is desirable that remote isolated communities can become self-sufficient in electric power through harnessing energy from renewable energy sources. Taking advantage of the high controllability of voltage source converters, a scheme to realize a stand-alone AC grid for such an isolated community is examined. It uses voltage source converter stations as frequency changers. The multi-infeed voltage source converter design succeeds in the dual roles of maintaining the grid AC voltage while balancing real power generation and loads using local information only. The stability of the power system under the proposed control scheme, as affected by the control coefficients and operating conditions, is investigated. An analysis of eigenvalue sensitivity to control parameters is also included. Proof of the concept is carried by digital simulation studies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.188
Teacher spread0.181 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations9
Published2010
Admission routes1
Has abstractyes

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